Abstract
The aim of CRM is to understand the profitability of their customers and to retain the profitable ones. Therefore, many firms need to be able to determine the value of their customers in order to retain or even cultivate the potential profit of customers. Analysis CRM in axletree firms is proposed based on integrating of variable precision rough set model and association rules. Therefore, this study insists on that an excellent CRM with customers for companies is a critical for gaining more profit. Finally, the experiments show that the proposed approach is prior to single FCA model and other traditional classification methods in association rules data mining.
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Xu, H., Wang, L. (2011). Application of Analysis CRM Based on Association Rules Mining in Variable Precision Rough Set. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23345-6_77
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DOI: https://doi.org/10.1007/978-3-642-23345-6_77
Publisher Name: Springer, Berlin, Heidelberg
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